Unifies fixed-ansatz and adaptive VQE via ansatz-free product-unitary formulation on the unitary group and derives convergence rates, initialization guarantees, and noise-robust measurement strategies for Riemannian gradient descent.
A scalable factorization approach for high-order structured tensor recovery,
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A survey of structured quantum state tomography covering compact representations, measurement design, and optimization algorithms, connected to compressive sensing for sample efficiency.
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Geometric Analysis of Variational Quantum Eigensolver
Unifies fixed-ansatz and adaptive VQE via ansatz-free product-unitary formulation on the unitary group and derives convergence rates, initialization guarantees, and noise-robust measurement strategies for Riemannian gradient descent.
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A survey of structured quantum state tomography covering compact representations, measurement design, and optimization algorithms, connected to compressive sensing for sample efficiency.